Earticle

초록

영어

Starting from the phenomenon that a large number of trains’ actual arrival &
departure time deviate from specified time in train working diagram in the database of
high speed railway dispatching system, the paper analyzes the defects of current train
running time calculation method. Based on data mining theory, a section running time
deviation calculation model for high speed railway train is proposed. Then the properties
of train section running time deviation are studied in three different cases (non-stop both
at the start and the end of section, stop at the end of section, and departure at the start of
section) with the data from a Chinese railway bureau dispatching system, and its further
influence on carrying capacity is analyzed. The results show that three deviation cases all
fit Gauss distribution and the accumulative deviation time can increase the transport
capacity for more than 1 million passengers per year.

목차

Abstract
 1. Introduction
 2. Background and Related Work
  2.1. Background
  2.2. Related Work
 3. Calculation Model
 4. Data Analysis
 5. Effect on Transport Capacity
 6. Conclusions
 References

키워드

저자

• Zhiming Yuan [ Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China ]
• Qi Zhang [ Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China ]
• Tao Wang [ Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China ]
• Feng Chen [ Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605